Wentao Wu
Wentao Wu
Microsoft Research
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Cited by
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Probase: A probabilistic taxonomy for text understanding
W Wu, H Li, H Wang, KQ Zhu
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
Predicting Query Execution Time: Are Optimizer Cost Models Really Unusable?
W Wu, Y Chi, S Zhu, J Tatemura, H Hacıgümüs, JF Naughton
Proceedings of the 29th International Conference on Data Engineering (ICDE'13), 2013
Towards predicting query execution time for concurrent and dynamic database workloads
W Wu, Y Chi, H Hacígümüş, JF Naughton
Proceedings of the VLDB Endowment 6 (10), 925-936, 2013
K-symmetry model for identity anonymization in social networks
W Wu, Y Xiao, W Wang, Z He, Z Wang
Proceedings of the 13th international conference on extending database …, 2010
Ai meets ai: Leveraging query executions to improve index recommendations
B Ding, S Das, R Marcus, W Wu, S Chaudhuri, VR Narasayya
Proceedings of the 2019 International Conference on Management of Data, 1241 …, 2019
Efficiently indexing shortest paths by exploiting symmetry in graphs
Y Xiao, W Wu, J Pei, W Wang, Z He
Proceedings of the 12th International Conference on Extending Database …, 2009
Ease. ml: Towards multi-tenant resource sharing for machine learning workloads
T Li, J Zhong, J Liu, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (5), 607-620, 2018
Sampling-Based Query Re-Optimization
W Wu, JF Naughton, H Singh
Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2016
Towards demystifying serverless machine learning training
J Jiang, S Gan, Y Liu, F Wang, G Alonso, A Klimovic, A Singla, W Wu, ...
Proceedings of the 2021 International Conference on Management of Data, 857-871, 2021
Symmetry-based structure entropy of complex networks
YH Xiao, WT Wu, H Wang, M Xiong, W Wang
Physica A: Statistical Mechanics and its Applications 387 (11), 2611-2619, 2008
Mlog: Towards declarative in-database machine learning
X Li, B Cui, Y Chen, W Wu, C Zhang
Proceedings of the VLDB Endowment 10 (12), 1933-1936, 2017
A Data Quality-Driven View of MLOps
CZ Cedric Renggli, Luka Rimanic, Nezihe Merve Gurel, Bojan Karlas, Wentao Wu
IEEE Data Engineering Bulletin 44 (1), 11-23, 2021
Openbox: A generalized black-box optimization service
Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Semantic bootstrapping: A theoretical perspective
W Wu, H Li, H Wang, KQ Zhu
IEEE Transactions on Knowledge and Data Engineering 29 (2), 446-457, 2016
Continuous Integration of Machine Learning Models with ease. ml/ci: Towards a Rigorous Yet Practical Treatment
C Renggli, B Karlaš, B Ding, F Liu, K Schawinski, W Wu, C Zhang
SysML Conference 2019, 2019
Uncertainty Aware Query Execution Time Prediction
W Wu, X Wu, H Hacıgümüş, J Naughton
Proceedings of the VLDB Endowment 7 (14), 1857 - 1868, 2014
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML. NET Pipelines
F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ...
ACM SIGMOD Record 51 (2), 30-37, 2022
iMecho: an associative memory based desktop search system
J Chen, H Guo, W Wu, W Wang
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
MLbench: benchmarking machine learning services against human experts
Y Liu, H Zhang, L Zeng, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (10), 1220-1232, 2018
Structure-based graph distance measures of high degree of precision
Y Xiao, H Dong, W Wu, M Xiong, W Wang, B Shi
Pattern Recognition 41 (12), 3547-3561, 2008
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